Wimbledon Great Britain Grass Grand Slam Round of 128

Camilo Ugo Carabelli vs Daniel Merida: AI Prediction | Games, Spread, Aces & Double Faults

Camilo Ugo Carabelli

Rank: #58
51%
VS

Daniel Merida

Rank: #84
49%
Expected Total Games: 37.3
Predicted Winner: Camilo Ugo Carabelli

Why the Model Favors Camilo Ugo Carabelli

The factors that drove this prediction, measured in win-probability points.

Overall strength +5.1 Camilo Ugo Carabelli
Recent form +3.4 Camilo Ugo Carabelli
Recent record by level +2.5 Daniel Merida
Serve & return game +2.5 Camilo Ugo Carabelli
Age +2.4 Daniel Merida

Starting from an even matchup, these factors move the model to 51% for Camilo Ugo Carabelli. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Camilo Ugo Carabelli

Form Index: 37.8
ELO Rating: 1634.1
Glicko2 Rating: 1665.0
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 15.8
Clay: 21.2
Grass: 7.3
Serve Rating: 95.5
Return Rating: 92.8

Daniel Merida

Form Index: 35.8
ELO Rating: 1623.2
Glicko2 Rating: 1722.3
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 17.4
Clay: 20.0
Grass: 6.0
Serve Rating: 94.9
Return Rating: 88.6

Recent Matches

Camilo Ugo Carabelli

Daniel Merida

Head-to-Head (Last 2 Seasons)

0
Camilo Ugo Carabelli
vs
0
Daniel Merida
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Wimbledon in London, Camilo Ugo Carabelli meets Daniel Merida in a round-of-128 match on grass. The model narrowly favors Camilo Ugo Carabelli to advance (51.35% vs 48.65%) with an expected total of about 37.3 games in the match.

Match Analysis

The model’s edge for Carabelli comes mainly from overall strength and recent form. Carabelli sits 58th in the rankings versus Merida at 84, and his Elo is slightly higher (1634.11 to 1623.17). Carabelli’s form index is 37.81 against Merida’s 35.81, and his surface strength index on grass is also stronger (7.29 vs 6.05). Fatigue is even — neither player has accrued minutes in this tournament so both arrive fresh. Serve & return considerations also tilt toward Carabelli in the model (+2.5 pp). His mean serve index is 95.51 and mean return index 92.80, marginally better than Merida’s serve 94.89 and return 88.59; neither serve gap crosses the 5-point threshold but Carabelli’s superior return stands out as a contributor. The explainability engine also notes recent record by level favors Merida slightly and age factors give Merida a 2.4-point lift in the projection, but these are smaller effects compared with Carabelli’s overall strength and form. Looking at recent matches, Carabelli has one win in his last three (a straight-sets win over Emilio Nava) and two long losses—he took a set off Andrey Rublev in a lengthy Roland Garros match. Merida has struggled in his last three, with straight-set defeats to Martin Damm and Ben Shelton and a three-set loss to Nikoloz Basilashvili.

Total Games Predictions

🎾
Expected Total Games in Match 37.3 Most likely outcome: 37 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Camilo Ugo Carabelli versus Daniel Merida. The X-axis shows possible total games values and the Y-axis shows the predicted probability percentage for each outcome.
Cumulative Probability (CDF)

Probability of total games ≤ X

Cumulative distribution function chart for total games in Camilo Ugo Carabelli versus Daniel Merida. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Camilo Ugo Carabelli - Daniel Merida) +0.3 Most likely spread: 0 (even number of games won)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Camilo Ugo Carabelli versus Daniel Merida. Positive values indicate Camilo Ugo Carabelli winning more games, negative values indicate Daniel Merida winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Camilo Ugo Carabelli versus Daniel Merida. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

Aces prediction for the match is 13.59 total and the predicted aces reflect grass’s advantage for big servers. The double faults prediction sits at an expected double faults total of 8.51. Neither player shows a vastly superior serve rating, so the ace count should reflect the surface more than a single dominant server.
🎯
Expected Total Aces 13.6 Most likely: 13 aces
Expected Total Double Faults 8.5 Most likely: 8 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Camilo Ugo Carabelli versus Daniel Merida. Higher ace counts are more likely on faster surfaces like grass.
Cumulative Probability (CDF)

Probability of aces ≤ X

Cumulative distribution function chart for total aces in Camilo Ugo Carabelli versus Daniel Merida. The curve shows the cumulative probability for each aces threshold.

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Probability distribution chart for double faults in Camilo Ugo Carabelli versus Daniel Merida. Clay surface matches tend to produce more double faults due to fatigue in longer rallies.
Cumulative Probability (CDF)

Probability of double faults ≤ X

Cumulative distribution function chart for double faults in Camilo Ugo Carabelli versus Daniel Merida. The curve shows the cumulative probability for each double faults threshold.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

36.6% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Camilo Ugo Carabelli's perspective)

0-3 Most likely set score (19.3%)
Probability distribution of the final set score from Camilo Ugo Carabelli's perspective. Format: BO5.

Final Prediction

Carabelli’s narrow edge comes primarily from overall strength (the top model factor) and a slightly better recent form and return game. Key factor to watch: how effectively Carabelli converts return opportunities on fast grass—if he neutralizes Merida’s serve, the match should break toward the favorite.

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